Senior Data Engineer (Machine Learning-focus)

Responsibilities

• We are looking for a Senior Data Engineer to take ownership of our ML Platform. You will help design, deploy, and evolve predictive models that power Adikteev’s core adtech systems and you will be the architect of the infrastructure that enables our ML models to scale, perform, and deliver value at high velocity.
• You will join a high-performing team alongside Gwennaëlle, Nicolas, Pedro, and Alex. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real-time decisions per day.
• You will join a team that has full ownership of our ML ecosystem. As a Senior member, you won't just "execute" tasks. You will shape our technical DNA and take your share of the following challenges
• Architect, scale, and maintain our data infrastructure, ensuring it meets the rigorous demands of real-time and batch ML workflows.
• Make sure data is always available: oversee processing, storage, aggregation, and API development.
• Streamline our data processes by integrating efficient testing, monitoring, alerting, and error recovery.
• Design and implement our feature store to centralize feature discovery, storage, and serving and build robust feature engineering pipelines.
• Build and optimize highly scalable pipelines using Apache Airflow and Apache Spark, focusing on high reliability and cost-efficiency.
• Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.
• Leverage AI coding tools (Copilot, Cursor, etc.) to accelerate development cycles and stay at the forefront of engineering productivity.

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